Abstract
Web applications based on description logics often need management of fuzzy information and encounter fuzzy concepts. This paper proposes an extended fuzzy ALCN to enable representation and reasoning for complex fuzzy information. The extended fuzzy ALCN introduces the cut sets of fuzzy concepts and fuzzy roles as atomic concepts and atomic roles, and inherits the concept constructors from description logics to support a new logic system. This paper defines its syntax structure, semantic interpretation and reasoning problems. The extended fuzzy ALCN is more expressive than the existing fuzzy description logics and present more wide fuzzy information. © Springer-Verlag Berlin Heidelberg 2005.
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CITATION STYLE
Li, Y., Xu, B., Lu, J., Kang, D., & Wang, P. (2005). Extended fuzzy description logic ALCN. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3684 LNAI, pp. 896–902). Springer Verlag. https://doi.org/10.1007/11554028_125
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